Name
Abstract | ||
|---|---|---|
The increasing number of XML repositories has provided the impetus to design and develop systems that can store and query XML data efficiently. Research to improve system performance has been largely concentrated on indexing paths and optimizing XML queries. In fact, the storage configuration of XML data on disk also has an impact on the efficiency of an XML data management system. Existing XML storage strategies can be classified into two categories: native XML storage and non-native XML storage. The main distinction between them is their data model. The former is based on the XML Data Models such as Document Object Model (DOM), and Object Exchange Model (OEM), while the latter is based on the traditional relational data model, or object-oriented data model. An evaluation of the alternative non-native storage strategies has been given in [6]. Here, we will focus on native XML storage strategies. Several native storage strategies have been developed in [1,2,3,5,8,11]. These can be classified into Element-Based (EB), Subtree-Based (SB) and Document-Based (DB). Both the Lore system [3] and TIMBER [1] utilize the classic EB strategy, where each element is an atomic unit of storage and is organized in a pre-ordered manner. Natix [2] is a well-known SB strategy. It divides the XML document tree into subtrees according to the physical page size, such that each subtree is a record. The sizes of the subtrees are kept as close as possible to the size of the physical page. A split matrix is defined to ensure that correlated element nodes remain clustered. Similar to the EB strategy, the records are stored in a pre-ordered way. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/B978-012722442-8/50104-X | VLDB |
Keywords | Field | DocType |
native xml storage system,xml document,document object model,indexation,system performance,storage system,relational data model,data model | Data mining,XML Encryption,Efficient XML Interchange,Streaming XML,Information retrieval,XML validation,Computer science,Document Structure Description,XML database,XML schema,Database,XML Schema Editor | Conference |
ISBN | Citations | PageRank |
0-12-722442-4 | 14 | 0.83 |
References | Authors | |
6 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofeng Meng | 1 | 1435 | 128.47 |
| Daofeng Luo | 2 | 36 | 1.78 |
| Mong Li Lee | 3 | 2031 | 267.53 |
| Jing An | 4 | 14 | 0.83 |